Accounting in the era of big data: case studies and frameworks

dc.contributor.authorThanasas, Georgios L.
dc.contributor.authorTheodorakopoulos, Leonidas
dc.date.accessioned2024-07-22T07:06:24Z
dc.date.available2024-07-22T07:06:24Z
dc.date.issued2023
dc.description.abstractThe increasing volume, velocity, and variety of data generated in today’s digital economy have given rise to new opportunities and challenges for the field of accounting. Big data has the potential to revolutionize accounting practices by providing a wealth of information that was previously unavailable. However, to fully realize the potential of big data, it is essential to develop a theoretical framework for analyzing and evaluating the data. This paper presents a theoretical framework for analyzing big data in accounting. The framework includes considerations related to data quality, data privacy, and ethics. The paper concludes by discussing the implications of big data for accounting practice and research, and by offering recommendations for future research in this area.uk_UA
dc.identifier.citationThanasas, G. L. Accounting in the era of big data: case studies and frameworks [Text] / Georgios L. Thanasas, Leonidas Theodorakopoulos // Journal of european economy. – 2023. – Vol. 22, № 4. – Р. 506-516.uk_UA
dc.identifier.urihttp://dspace.wunu.edu.ua/handle/316497/51853
dc.publisherWUNUuk_UA
dc.subjectBig datauk_UA
dc.subjectaccountinguk_UA
dc.subjecttheoretical frameworkuk_UA
dc.subjectdata qualityuk_UA
dc.titleAccounting in the era of big data: case studies and frameworksuk_UA
dc.typeArticleuk_UA

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